code: def __init__(
      self, obs_dim, act_dim, hidden_sizes, activation, act_limit
  ):
      super().__init__()
      pi_sizes = [obs_dim] + list(hidden_sizes) + [act_dim]
      self.pi = mlp(pi_sizes, activation, nn.Tanh)
      self.act_limit = act_limit
  
file_path: spinningup/spinup/exercises/pytorch/problem_set_2/exercise2_2.py
imports: from spinup.algos.pytorch.ddpg.core import mlp, MLPActorCritic
  from spinup.utils.run_utils import ExperimentGrid
  from spinup import ddpg_pytorch
  import numpy
  import torch
  import torch.nn
label_desc: Use image node_id 1 to create a new BuggedMLPActor object from inherited base classes: nn with example: obj = BuggedMLPActor(obs_dim, act_dim, hidden_sizes, activation, act_limit)